| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Sioux City Musketeers | USHL | 42 | 4 | 5 | 9 | 0.214 | 0.1365 | 0.1356 | 0.6422 | 0.6382 |
| 2016-17 | Salmon Arm Silverbacks | BCHL | 44 | 13 | 17 | 30 | 0.682 | 0.2654 | 0.2555 | 0.9943 | 0.9572 |
| 2017-18 | Surrey Eagles | BCHL | 56 | 5 | 19 | 24 | 0.429 | 0.1668 | 0.1526 | 0.6250 | 0.5717 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Trinity | D3 | NESCAC | SR | 23 | 2 | 2 | 4 | 0.174 |
| 2020-21 | Trinity | D3 | NESCAC | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Trinity | D3 | NESCAC | SO | 18 | 1 | 2 | 3 | 0.167 |
| 2018-19 | Trinity | D3 | NESCAC | FR | 1 | 0 | 0 | 0 | 0.000 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.